Evidence map›Paper›PMID 33908801›Full record

ArticleThe Journal of urology2021

Optimizing Spatial Biopsy Sampling for the Detection of Prostate Cancer.

Alex G Raman, Karthik V Sarma, Steven S Raman, Alan M Priester, Sohrab Afshari Mirak, Hannah H Riskin-Jones, Nikhil Dhinagar, William Speier, Ely Felker, Anthony E Sisk and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Journal of urology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. The evolving PI-RADS paradigm.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
    Review
  6. Article
  7. Article
  8. Biopsy strategies in the era of mpMRI: a comprehensive review.Prostate cancer and prostatic diseases · 2025
    Review
  9. Three-dimensional spatial localization and volume estimation of prostate tumors usingEuropean journal of nuclear medicine and molecular imaging · 2025
    Article
  10. Article
  11. Review
  12. Article
  13. [Diagnostic efficacy of targeted biopsy combined with regional systematic biopsy in prostate cancer in patients with PI-RADS 4-5].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Alex G RamanComputational Diagnostics Lab, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.
Karthik V SarmaComputational Diagnostics Lab, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.
Steven S RamanDepartment of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.
Alan M PriesterDepartment of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.
Sohrab Afshari MirakDepartment of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.
Hannah H Riskin-JonesDepartment of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.
Nikhil DhinagarComputational Diagnostics Lab, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.
William SpeierComputational Diagnostics Lab, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.
Ely FelkerDepartment of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.
Anthony E SiskDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.
David LuDepartment of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.
Adam KinnairdDepartment of Urology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.
Robert E ReiterDepartment of Urology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.
Leonard S MarksDepartment of Urology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.
Corey W ArnoldComputational Diagnostics Lab, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.

Funding

Women's CancersP30CA016042 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Samuel Wheeler French · 1985 to 2026
$134.5M
UCLA SPORE IN PROSTATE CANCERP50CA092131 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI REITER, ROBERT E · 2002 to 2023
$42.6M
UCLA-Caltech Medical Scientist Training ProgramT32GM008042 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI AJIJOLA, OLUJIMI A, DAWSON, DAVID WAYNE · 1985 to 2023
$29.9M
Medical Imaging Informatics Training GrantT32EB016640 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ALEX BUI, William Hsu · 2013 to 2026
$2.3M
Biopsy Tracking and MRI Fusion to Enhance Imaging of Cancer Within the ProstateR01CA158627 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MARKS, LEONARD STEPHEN · 2011 to 2013
$1.4M
Prospective Assessment of Image Registration for the Diagnosis of Prostate CancerR01CA195505 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MARKS, LEONARD STEPHEN · 2015 to 2016
$705k
Predicting the Presence of Clinically Significant Prostate Cancer using Multiparametric MRI and MR-US Fusion BiopsyR21CA220352 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARNOLD, COREY WELLS · 2018 to 2019
$352k
Development of a Multimodal Deep Learning Model for the Generation of Cancer Probability Maps and Imaging Biomarkers for Prostate Cancer using Multiparametric MRIF30CA210329 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SARMA, KARTHIK VENKATARAMAN · 2016 to 2022
$173k
NCI NIH HHS F30 CA210329NCI NIH HHS P30 CA016042NCI NIH HHS P50 CA092131NCI NIH HHS R01 CA158627NCI NIH HHS R01 CA195505NCI NIH HHS R21 CA220352NIBIB NIH HHS T32 EB016640NIGMS NIH HHS T32 GM008042
6 · The paper itself

Abstract

purposeThe appropriate number of systematic biopsy cores to retrieve during magnetic resonance imaging (MRI)-targeted prostate biopsy is not well defined. We aimed to demonstrate a biopsy sampling approach that reduces required core count while maintaining diagnostic performance. MATERIALS AND

methodsWe collected data from a cohort of 971 men who underwent MRI-ultrasound fusion targeted biopsy for suspected prostate cancer. A regional targeted biopsy (RTB) was evaluated retrospectively; only cores within 2 cm of the margin of a radiologist-defined region of interest were considered part of the RTB. We compared detection rates for clinically significant prostate cancer (csPCa) and cancer upgrading rate on final whole mount pathology after prostatectomy between RTB, combined, MRI-targeted, and systematic biopsy.

resultsA total of 16,459 total cores from 971 men were included in the study data sets, of which 1,535 (9%) contained csPCa. The csPCa detection rates for systematic, MRI-targeted, combined, and RTB were 27.0% (262/971), 38.3% (372/971), 44.8% (435/971), and 44.0% (427/971), respectively. Combined biopsy detected significantly more csPCa than systematic and MRI-targeted biopsy (p <0.001 and p=0.004, respectively) but was similar to RTB (p=0.71), which used on average 3.8 (22%) fewer cores per patient. In 102 patients who underwent prostatectomy, there was no significant difference in upgrading rates between RTB and combined biopsy (p=0.84).

conclusionsA RTB approach can maintain state-of-the-art detection rates while requiring fewer retrieved cores. This result informs decision making about biopsy site selection and total retrieved core count.

Indexed as

AgedBiopsy, Large-Core NeedleDatasets as TopicFeasibility StudiesHumansImage-Guided BiopsyMagnetic Resonance Imaging, InterventionalMaleMiddle AgedMultimodal ImagingMultiparametric Magnetic Resonance ImagingNeoplasm GradingProstateProstatectomyProstatic NeoplasmsRetrospective Studiesbiopsy, adverse effectsimage-guided biopsymagnetic resonance imagingprostatic neoplasmsultrasonography, interventional

Identifiers

PMID33908801
PMCPMC8903239

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.